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+/*
+ * Copyright (c) 2019 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "helpers.h"
+
+#if defined(VEC_SIZE) && defined(DATA_TYPE) && defined(GAMMA) && defined(BETA) && defined(EPSILON) && defined(DIM_X) && defined(DIM_Y) && defined(DIM_Z)
+/** This function normalizes the input 2D tensor across the first dimension with respect to mean and standard deviation of the same dimension.
+ *
+ * @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16
+ * @attention Data type should be passed using the -DDATA_TYPE=data_type compile flag, e.g. -DDATA_TYPE=float
+ * @attention The scale scalar value applied to the normalized tensor should be passed using the -DGAMMA=value compile flag, e.g. -DGAMMA=1.3
+ * @attention The offset scalar value applied to the normalized tensor should be passed using the -DBETA=value compile flag, e.g. -DBETA=2.4
+ * @attention Normalization epsilon parameter should be given as a preprocessor argument with -DEPSILON=value. e.g. -DEPSILON=0.001f
+ * @attention Dimensions X, Y, and Z should be given as a preprocessor argument with -DDIM_X=value, -DDIM_Y=value, -DDIM_Z=value. e.g. -DDIM_X=6, -DDIM_Y=2, -DDIM_Z=7
+ *
+ * @param[in] input_ptr Pointer to the first source tensor. Supported data types: F16/F32
+ * @param[in] input_stride_x Stride of the first source tensor in X dimension (in bytes)
+ * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] input_stride_y Stride of the first source tensor in Y dimension (in bytes)
+ * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] input_stride_z Stride of the first source tensor in Z dimension (in bytes)
+ * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in] input_offset_first_element_in_bytes The offset of the first element in the first source tensor
+ * @param[out] output_ptr (Optional) Pointer to the destination tensor. Supported data types: same as @p input_ptr
+ * @param[in] output_stride_x (Optional) Stride of the destination tensor in X dimension (in bytes)
+ * @param[in] output_step_x (Optional) output_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] output_stride_y (Optional) Stride of the destination tensor in Y dimension (in bytes)
+ * @param[in] output_step_y (Optional) output_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] output_stride_z (Optional) Stride of the destination tensor in Z dimension (in bytes)
+ * @param[in] output_step_z (Optional) output_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in] output_offset_first_element_in_bytes (Optional) The offset of the first element in the destination tensor
+ */
+__kernel void instance_normalization(
+ TENSOR4D_DECLARATION(input)
+#ifndef IN_PLACE
+ ,
+ TENSOR4D_DECLARATION(output)
+#endif /* IN_PLACE */
+)
+{
+ DATA_TYPE sum = 0.f;
+ DATA_TYPE sum_sq = 0.f;
+
+#if defined(NHWC)
+
+ const int pc = get_global_id(0);
+ const int pn = get_global_id(2);
+ const int elements_plane = DIM_Y * DIM_Z;
+ const int elements_x_y = DIM_X * DIM_Y;
+ const int elements_x_y_z = DIM_X * DIM_Y * DIM_Z;
+
+ for(int i_w = 0; i_w < DIM_Y; ++i_w)
+ {
+ for(int i_h = 0; i_h < DIM_Z; ++i_h)
+ {
+ DATA_TYPE data = *((__global DATA_TYPE *)input_ptr + pc + i_w * DIM_X + i_h * elements_x_y + pn * elements_x_y_z);
+ sum += data;
+ sum_sq += data * data;
+ }
+ }
+
+#else // !defined(NHWC)
+ const int elements_plane = DIM_X * DIM_Y;
+ const int plane_address = get_global_id(2) * elements_plane;
+ int i = 0;
+
+ VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)
+ part_sum = 0.f;
+ VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)
+ part_sum_sq = 0.f;
+ // Calculate partial sum
+ for(; i <= (elements_plane - VEC_SIZE); i += VEC_SIZE)
+ {
+ // Load data
+ VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)
+ data = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input_ptr + i + plane_address);
+ part_sum += data;
+ part_sum_sq += data * data;
+ }
+ // Perform reduction
+#if VEC_SIZE > 8
+ part_sum.s01234567 += part_sum.s89abcdef;
+ part_sum_sq.s01234567 += part_sum_sq.s89abcdef;
+#endif // VEC_SIZE > 8
+#if VEC_SIZE > 4
+ part_sum.s0123 += part_sum.s4567;
+ part_sum_sq.s0123 += part_sum_sq.s4567;
+#endif // VEC_SIZE > 4
+#if VEC_SIZE > 2
+ part_sum.s01 += part_sum.s23;
+ part_sum_sq.s01 += part_sum_sq.s23;
+#endif // VEC_SIZE > 2
+ part_sum.s0 += part_sum.s1;
+ part_sum_sq.s0 += part_sum_sq.s1;
+ // Left-overs loop
+ for(; i < elements_plane; ++i)
+ {
+ DATA_TYPE data = *((__global DATA_TYPE *)input_ptr + i + plane_address);
+ part_sum.s0 += data;
+ part_sum_sq.s0 += data * data;
+ }
+
+ sum = part_sum.s0;
+ sum_sq = part_sum_sq.s0;
+
+#endif // defined(NHWC)
+
+ const DATA_TYPE mean_float = ((float)sum / elements_plane);
+ const DATA_TYPE mean = (DATA_TYPE)mean_float;
+ const float var_float = ((float)sum_sq / elements_plane) - (mean_float * mean_float);
+ const float multip_float = GAMMA / sqrt(var_float + EPSILON);
+ const DATA_TYPE multip = (DATA_TYPE)multip_float;
+
+#if defined(NHWC)
+
+ for(int i_w = 0; i_w < DIM_Y; ++i_w)
+ {
+ for(int i_h = 0; i_h < DIM_Z; ++i_h)
+ {
+ __global DATA_TYPE *input_address = (__global DATA_TYPE *)input_ptr + pc + i_w * DIM_X + i_h * elements_x_y + pn * elements_x_y_z;
+#ifdef IN_PLACE
+ __global DATA_TYPE *output_address = input_address;
+#else /* !IN_PLACE */
+ __global DATA_TYPE *output_address = (__global DATA_TYPE *)output_ptr + pc + i_w * DIM_X + i_h * elements_x_y + pn * elements_x_y_z;
+#endif /* IN_PLACE */
+ *(output_address) = (*(input_address) - mean) * multip + (DATA_TYPE)BETA;
+ }
+ }
+
+#else // !defined(NHWC)
+ i = 0;
+ for(; i <= (elements_plane - VEC_SIZE); i += VEC_SIZE)
+ {
+ __global DATA_TYPE *input_address = (__global DATA_TYPE *)input_ptr + i + plane_address;
+#ifdef IN_PLACE
+ __global DATA_TYPE *output_address = input_address;
+#else /* !IN_PLACE */
+ __global DATA_TYPE *output_address = (__global DATA_TYPE *)output_ptr + i + plane_address;
+#endif /* IN_PLACE */
+
+ VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)
+ data = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input_address);
+
+ VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)
+ res = (data - mean) * multip + (DATA_TYPE)BETA;
+ VSTORE(VEC_SIZE)
+ (res, 0, (__global DATA_TYPE *)output_address);
+ }
+ for(; i < elements_plane; ++i)
+ {
+ __global DATA_TYPE *input_address = (__global DATA_TYPE *)input_ptr + i + plane_address;
+#ifdef IN_PLACE
+ __global DATA_TYPE *output_address = input_address;
+#else /* !IN_PLACE */
+ __global DATA_TYPE *output_address = (__global DATA_TYPE *)output_ptr + i + plane_address;
+#endif /* IN_PLACE */
+ *(output_address) = (*(input_address) - mean) * multip + (DATA_TYPE)BETA;
+ }
+#endif // defined(NHWC)
+}
+#endif /* defined(VEC_SIZE) && defined(DATA_TYPE) && defined(GAMMA) && defined(BETA) && defined(EPSILON) && defined(DIM_X) && defined(DIM_Y) && defined(DIM_Z) */